from datasets import Dataset, DatasetBuilder
import pandas as pd

class YourDataset(DatasetBuilder):
    VERSION = "1.0.0"

    def _info(self):
        features = {
            "source": "string",
            "id": "string",
            "text": "string",
            "researcher": "string",
            "year": "int",
            "aggressive": "float",
            "hate": "float",
        }
        return datasets.DatasetInfo(features=features)

    def _split_generators(self, dl_manager):
        # You can download and extract data here if needed
        return []

    def _generate_examples(self, file_path):
        df = pd.read_csv(file_path)
        for i, row in df.iterrows():
            yield i, {
                "source": str(row["source"]),
                "id": str(row["id"]),
                "text": str(row["text"]),
                "researcher": str(row["researcher"]),
                "year": int(row["year"]),
                "aggressive": float(row["aggressive"]),
                "hate": float(row["hate"]),
            }

# Load your dataset
file_path = "tupi_binary.csv"
your_dataset = Dataset.load_from_disk(file_path)

# Use the Hugging Face Dataset viewer
your_dataset.view()